Fatty Acids-Based Quality Index to Differentiate Worldwide Commercial Pistachio Cultivars
Fatty Acids-Based Quality Index to Differentiate Worldwide Commercial Pistachio Cultivars
复制标题
基于脂肪酸的质量指数可区分全球商业开心果品种
作者：
M. Esteki;Parvin Ahmadi;Y. Vander Heyden;J. Simal
用气相色谱法测定了开心果的5个主要栽培品种(Ahmad-Aghaei、Akbari、Chrok、Kalle-Ghouchi和Ohadi)的脂肪酸组成：棕榈酸(C16：0)、棕榈油酸(C16：1)、硬脂酸(C18：0)、油酸(C18：1)、亚油酸(C18：2)、亚麻酸(C18：3)、花生酸(C20：0)和刚果酸(C20：1)。根据油酸与亚油酸(O/L)的比值，确定了这5个品种的品质指数：Ohadi(2.40)<；Ahmad-Aghaei(2.60)<；羽衣甘蓝(2.94)<；Chrok(3.05)<；Akbari(3.66)。脂肪酸数据的主成分分析(PCA)产生了三个显著的PC，它们加在一起可以解释数据集中总方差的80.0%。经过交叉验证评估的线性判别分析(LDA)模型几乎正确地对所有样本进行了分类：预测集的平均百分比准确率为98.0%。预测集的高预测能力表明，根据未知样品的脂肪酸色谱指纹图谱，可以指示未知样品的品种。
The fatty acid profiles of five main commercial pistachio cultivars, including Ahmad-Aghaei, Akbari, Chrok, Kalle-Ghouchi, and Ohadi, were determined by gas chromatography: palmitic (C16:0), palmitoleic (C16:1), stearic (C18:0), oleic (C18:1), linoleic (C18:2), linolenic (C18:3), arachidic (C20:0), and gondoic (C20:1) acid. Based on the oleic to linoleic acid (O/L) ratio, a quality index was determined for these five cultivars: Ohadi (2.40) < Ahmad-Aghaei (2.60) < Kale-Ghouchi (2.94) < Chrok (3.05) < Akbari (3.66). Principal component analysis (PCA) of the fatty acid data yielded three significant PCs, which together account for 80.0% of the total variance in the dataset. A linear discriminant analysis (LDA) model that was evaluated with cross-validation correctly classified almost all of the samples: the average percent accuracy for the prediction set was 98.0%. The high predictive power for the prediction set shows the ability to indicate the cultivar of an unknown sample based on its fatty acid chromatographic fingerprint.